Image Processing, Computer-Assisted
"Image Processing, Computer-Assisted" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.
| Descriptor ID |
D007091
|
| MeSH Number(s) |
L01.224.308
|
| Concept/Terms |
Image Reconstruction- Image Reconstruction
- Image Reconstructions
- Reconstruction, Image
- Reconstructions, Image
Image Analysis, Computer-Assisted- Image Analysis, Computer-Assisted
- Image Analysis, Computer Assisted
- Computer-Assisted Image Analysis
- Computer Assisted Image Analysis
- Analysis, Computer-Assisted Image
- Computer-Assisted Image Analyses
- Image Analyses, Computer-Assisted
|
Below are MeSH descriptors whose meaning is more general than "Image Processing, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Image Processing, Computer-Assisted".
This graph shows the total number of publications written about "Image Processing, Computer-Assisted" by people in this website by year, and whether "Image Processing, Computer-Assisted" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2003 | 0 | 1 | 1 |
| 2006 | 0 | 1 | 1 |
| 2007 | 0 | 1 | 1 |
| 2008 | 1 | 2 | 3 |
| 2009 | 3 | 3 | 6 |
| 2010 | 2 | 2 | 4 |
| 2011 | 4 | 3 | 7 |
| 2012 | 1 | 2 | 3 |
| 2013 | 5 | 3 | 8 |
| 2014 | 5 | 1 | 6 |
| 2015 | 0 | 1 | 1 |
| 2016 | 3 | 4 | 7 |
| 2017 | 4 | 3 | 7 |
| 2018 | 3 | 4 | 7 |
| 2019 | 3 | 2 | 5 |
| 2020 | 3 | 3 | 6 |
| 2021 | 2 | 2 | 4 |
| 2022 | 1 | 4 | 5 |
| 2023 | 2 | 3 | 5 |
| 2024 | 1 | 3 | 4 |
| 2025 | 0 | 2 | 2 |
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Below are the most recent publications written about "Image Processing, Computer-Assisted" by people in Profiles.
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The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. Med Image Anal. 2025 Apr; 101:103485.
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Impact of particle size on R2* and fat fraction estimation for accurate assessment of hepatic iron overload and steatosis using MRI. Magn Reson Med. 2025 May; 93(5):2176-2185.
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The effects of maternal flow on placental diffusion-weighted MRI and intravoxel incoherent motion parameters. Magn Reson Med. 2025 Apr; 93(4):1629-1641.
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PostFocus: automated selective post-acquisition high-throughput focus restoration using diffusion model for label-free time-lapse microscopy. Bioinformatics. 2024 08 02; 40(8).
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Let UNet Play an Adversarial Game: Investigating the Effect of Adversarial Training in Enhancing Low-Resolution MRI. J Imaging Inform Med. 2025 Feb; 38(1):629-645.
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Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder. Artif Intell Med. 2024 05; 151:102828.
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Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI. MAGMA. 2024 Jul; 37(3):507-528.
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AVDNet: Joint coronary artery and vein segmentation with topological consistency. Med Image Anal. 2024 Jan; 91:102999.
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CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Med Image Anal. 2023 10; 89:102904.
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A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer. Sci Data. 2023 Apr 21; 10(1):231.